Evidence map›Paper›PMID 30144960›Full record

ReviewAlcohol (Fayetteville, N.Y.)2019

Bioinformatic and biological avenues for understanding alcohol use disorder.

Emily K Grantham, Sean P Farris

Abstract readReview
In one paragraph

Review in Alcohol (Fayetteville, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Emily K GranthamWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712-1095, United States.
Sean P FarrisWaggoner Center for Alcohol and Addiction Research, The University of Texas at Austin, Austin, TX, 78712-1095, United States. Electronic address: spfarris@utexas.edu.

Funding

Role of noncoding RNA in alcohol actionU01AA020889 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sean P Farris, Gregg E. Homanics · 2011 to 2026
$7.1M
Next Generation Sequencing of Human Alcoholic BrainU01AA020926 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI Roy DAYNE MAYFIELD · 2011 to 2026
$6.7M
LNCRNA REGULATION OF GENE EXPRESSION & BEHAVIORR01AA030257 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Sean P Farris · 2022 to 2026
$2.8M
Long Non-Coding RNA Regulation of Alcohol Drinking BehaviorR00AA024836 · NIAAA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FARRIS, SEAN P · 2020 to 2022
$667k
LONG NON-CODING RNA REGULATION OF ALCOHOL DRINKING BEHAVIORK99AA024836 · NIAAA · UNIVERSITY OF TEXAS AT AUSTIN · PI FARRIS, SEAN P · 2017 to 2018
$306k
NIAAA NIH HHS K99 AA024836NIAAA NIH HHS R00 AA024836NIAAA NIH HHS R01 AA030257NIAAA NIH HHS U01 AA020889NIAAA NIH HHS U01 AA020926
6 · The paper itself

Abstract

Alcohol Use Disorder (AUD) is a multifarious psychiatric condition resulting from complex relationships between genetics, gene expression, neuroadaptations, and environmental influences. Understanding these complex relationships is essential to uncovering the mechanisms involved in the development and progression of AUD, with the ultimate goal of devising effective behavioral and therapeutic interventions. Technical advances in the fields of omics-based research and bioinformatics have yielded insights into gene interactions, biological networks, and cellular responses across humans and animal models. This review highlights several of the newly developed sequencing methodologies and resultant discoveries in neuroscience, as well as the importance of a multi-faceted and integrative approach for determining causal factors in AUD.

Indexed as

Computational BiologyAlcoholismAnimalsHumansSequence Analysis, RNASingle-Cell AnalysisAlcoholBioinformaticsDrug repurposingGene expressionRNA-seq

Identifiers

PMID30144960
PMCPMC8939236

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.